摘要
介绍了基于遗传算法的炉缸侵蚀结厚模型的研发概况和主要模型功能,并结合某4 000m3和5 000m3大型高炉长期在线运行数据,着重对模型计算和侵蚀结厚监测模拟效果进行了验证。当炉底中心温度不断升高时,炉底侵蚀加剧,剩余厚度减小;当温度不断降低时,炉缸中心区域渣铁流动性差,炉底易形成导热系数较低的粘结物。模型计算结果与实际的温度变化趋势及炉缸活跃性表现相一致。
In this paper,the development of hearth-bottom erosion and accretion mathematic model of blast furnace based on genetic algorithm and its functions are introduced.Combined with long-term on-line calculation data of 4 000 m3 and 5 000 m3 large blast furnaces,the erosion and accretion simulation results are verified with model calculations.When bottom center temperature continuously increased,bottom erosion process would continuously take place and the bottom thickness would be reduced.When the bottom center temperature continuously decreases,the liquidity of hot metal and molten slag in hearth center would become poor,and it is easy to form lower thermal conductivity bonding material in bottom area.In a word,the results of model calculation and simulation are consistent with actual temperature change trend and performance of blast furnace hearth.
出处
《钢铁研究》
CAS
2013年第4期9-14,共6页
Research on Iron and Steel
关键词
高炉炉缸
侵蚀
结厚
遗传算法
数值模拟
blast furnace hearth
erosion
accretion
genetic algorithm
simulation
